class_docstr: Pytorch Dataset for InputFeatures
      
class_docstr_tok: ["Pytorch","Dataset","for","InputFeatures"]
code: def __init__(self, features):
      self.features = features
  
file_path: DeepKE/src/deepke/triple_extraction/PRGC/dataloader.py
imports: import os
  import json
  import torch
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, Dataset
  from transformers import BertTokenizer
  from .dataloader_utils import read_examples, convert_examples_to_features
label_desc: Use image node_id 1 to create a new FeatureDataset object from inherited base classes: Dataset with example: obj = FeatureDataset(features)